Computer Science ›› 2018, Vol. 45 ›› Issue (12): 52-60.doi: 10.11896/j.issn.1002-137X.2018.12.007
• Surveys • Previous Articles Next Articles
LIU Ying, ZHANG Shuai, GE Yu-xiang, WANG Fu-ping, LI Da-xiang
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[1]LIU Y,FAN J L,LI Z,et al.Case study on content-based image retrieval for crime scene investigation image database [J].Journal of Xi’an University of Posts and Telecommunications,2015,20(3):11-20.(in Chinese) 刘颖,范九伦,李宗,等.现勘图像数据库检索技术实例探讨[J].西安邮电大学学报,2015,20(3):11-20. [2]ZHANG Q.The development of image retrieval in public security image investigation [J].China Security & Protection,2015(19):59-62.(in Chinese) 张琪.图像检索在公安图像侦查领域的发展[J].中国安防,2015(19):59-62. [3]QIAN B Z.China’s first tire pattern patent database began to operate [J].Rubber Science and Technology,2015,13(1):47.(in Chinese) 钱伯章.国内首个轮胎花纹专利数据库开始运营[J].橡胶科技,2015,13(1):47. [4]LIU Y,YAN H Y.A rotation-invariant texture feature extraction method for tire pattern image [J].Journal of Xi’an University of Posts and Telecommunications,2015,20(6):10-13.(in Chinese) 刘颖,燕皓阳.具有旋转不变性的轮胎纹理特征提取[J].西安邮电大学学报,2015,20(6):10-13. [5]ZHANG R T,DONG Y D,SONG Z H,et al.Study on the extraction of boundary features of tread patterns [J].Tire Industry,2017,37(1):18-23.(in Chinese) 张荣团,董玉德,宋忠辉,等.轮胎胎面花纹边界特征提取方法研究[J].轮胎工业,2017,37(1):18-23. [6]DONG Y D,SONG Z H,CHEN J F,et al.Extraction of boundary features of tread patterns from tire point cloud [J].Journal of Computer-Aided Design and Computer Graphics,2017,29(5):939-949.(in Chinese) 董玉德,宋忠辉,陈进富,等.面向轮胎点云的胎面花纹边界特征提取[J].计算机辅助设计与图形学学报,2017,29(5):939-949. [7]LIU Y,ZHANG D S,LU G J,et al.A survey of content-based image retrieval with high-level semantics [J].Pattern Recognition,2007,40(1):262-282. [8]LIU Y,HUANG Y,GAO Z M.Research on feature extraction and similarity measure for crime scene investigation image retrieval [J].Journal of Xi’an University of Posts and Telecommunications,2014,19(6):11-16.(in Chinese) 刘颖,黄源,高梓铭.刑侦图像检索中的特征提取及相似性度量研究[J].西安邮电大学学报,2014,19(6):11-16. [9]LIU Y,FAN J L.A survey on state-of-the-art techniques in content-based image retrieval [J].Journal of Xi’an University of Posts and Telecommunications,2012,17(2):1-8.(in Chinese) 刘颖,范九伦.基于内容的图像检索技术综述[J].西安邮电大学学报,2012,17(2):1-8. [10]LIU Y,LI Z,GAO Z M.An improved texture feature extraction method for type tread patterns[C]∥Intelligence Science and Big Data Engineering.Berlin Heidelberg:Springer Press,2013:705-713. [11]LIU Y,LI Z.Study on texture feature extraction from forensic images with watermark[C]∥Industrial Electronics and Applications.Hangzhou:IEEE Press,2014:1471-1475. [12]YAN H Y,LIU Y.An improved texture feature extractionmethod based on Radon transform[C]∥Seventh International Symposium on Computational Intelligence and Design.Hangzhou:IEEE Press,2014:481-485. [13]WANG S,LIU Y,LI D X,et al.An improved SIFT feature extraction method for type tread patterns retrieval[C]∥Seventh International Symposium on Computational Intelligence and Design.Hangzhou:IEEE Press,2014:539-543. [14]LI Z,LIU Y,LI D X.A new texture feature extraction method for image retrieval[C]∥International Conference on Intelligent Control & Information Processing.Beijing:IEEE Press,2013:482-486. [15]WANG S.Study on type trend patterns similarity retrieval based on SIFT feature [D].Xi’an:Xi’an University of Posts and Te-lecommunications,2015.(in Chinese) 王帅.基于SIFT特征的轮胎花纹图像相似性检索技术研究[D].西安:西安邮电大学,2015. [16]JIA S Y,MA J T.Tire pattern retrieval based on wavelet transform and gray level co-occurrence matrix [J].Computer Mea-surement & Control,2016,24(6):210-213.(in Chinese) 贾世英,马姣婷.基于小波变换和灰度共生矩阵的轮胎花纹检索[J].计算机测量与控制,2016,24(6):210-213. [17]LIU Y,YAN H Y,LIM K P.Study on rotation-invariant texture feature extraction for tire pattern retrieval [J].Multidimensio-nal Systems & Signal Processing,2017,28(2):757-770. [18]LI Z.Study on texture feature extraction for tire tread pattern Retrieval [D].Xi’an:Xi’an University of Posts and Telecommunications,2014.(in Chinese) 李宗.用于轮胎花纹检索的纹理特征提取算法研究[D].西安:西安邮电大学,2014. [19]YAN H Y.Study on texture feature extraction for watermarked forensic image [D].Xi’an:Xi’an University of Posts and Telecommunications,2016.(in Chinese) 燕皓阳.含有隐藏信息的刑侦图像纹理特征提取算法研究[D].西安:西安邮电大学,2016. [20]AI L M,GUO C.Tire image enhancement based on frequency division and singular value decomposition [J].Application Research of Computers,2012,29(3):1178-1180.(in Chinese) 艾玲梅,郭春.基于分频和奇异值分解的轮胎图像增强方法[J].计算机应用研究,2012,29(3):1178-1180. [21]AI L M,GUO C.Tire tread pattern recognition based on composite feature extraction and hierarchical support vector machine [J].Computer Engineering and Application,2013,49(20):179-182.(in Chinese) 艾玲梅,郭春.基于组合特征提取与多级SVM的轮胎花纹识别[J].计算机工程与应用,2013,49(20):179-182. [22]QIAO L,LIU J H,XUE Y F.X-ray tire image enhancement processing research [J].Journal of Changzhi University,2012,29(5):27-29.(in Chinese) 乔丽,刘继华,薛艳峰.X光轮胎图像的增强处理研究[J].长治学院学报,2012,29(5):27-29. [23]HUANG D Y,HU W C,WANG Y W,et al.Recognition of tire tread patterns based on gabor wavelets and support vector machine[C]∥International Conference on Computational Collective Intelligence.Berlin Heidelberg:Springer Press,2010:92-101. [24]MICHALÍKOVÁ A,VAGAČ M.A tire tread pattern detection based on fuzzy logic[C]∥Flexible Query Answering Systems.Ghent:Springer Press,2015:381-388. [25]COLBRY D.Pattern recognition for classification and matching of car tires [J].Tire Science & Technology,2005,33(1):2-17. [26]JUNG S W,BAE S W,PARK G T.A design scheme for a hie-rarchical fuzzy pattern matching classifier and its application to the tire tread pattern recognition [J].Fuzzy Sets & Systems,1994,65(2-3):311-322. [27]THALI M J,BRAUN M,BRÜSCHWEILER W,et al.Matching tire tracks on the head using forensic photogrammetry[J].Forensic Science International,2000,113(1):281-287. [28]CHEN Q,LI J,WU X,et al.Tyre imprint discernment algorithm and example analysis [J].Journal of Jilin University Engineering and Technology Edition,2005,35(1):39-43.(in Chinese) 陈强,李江,吴想,等.轮胎印痕识别算法及实例分析[J].吉林大学学报(工学版),2005,35(1):39-43. [29]CHEN Q,LI J,WU X,et al.Tire imprints identification based on wavelet network [C]∥2004 International Symposium on Road Safety.Beijing:China Communications Press,2004:431-434.(in Chinese) 陈强,李江,吴想,等.基于小波网络的轮胎印痕识别[C]∥2004国际公路安全研讨会.北京:人民交通出版社,2004:431-434. [30]YU Q.Research on scene tire tread pattern retrieval algorithm [D].Dalian:Dalian Maritime University,2015.(in Chinese) 于清.现场轮胎痕迹花纹检索算法研究[D].大连:大连海事大学,2015. [31]ZHOU Q Z.Identification research for scene tire marks of traffic accident [D].Xi’an:Chang’an University,2011.(in Chinese) 周奇智.交通事故现场轮胎痕迹的鉴别研究[D].西安:长安大学,2011. [32]WANG Z,WANG Y P,LI S W.Image matching algorithm for tire impression based on SIFT-Gabor transform[J].Optics and Precision Engineering,2011,19(2):291-297. [33]LIN L,SUN J,WANG Z,et al.Recognition method and application to classify a tire image combined curve evolution and cha-racteristic matching [J].Chinese Journal of Scientific Instrument,2011,32(12):56-60. [34]WEI D,PHLYPO R,ADALI T.Adaptive feature split selection for co-training:Application to tire irregular wear classification[C]∥IEEE International Conference on Acoustics,Speech and Signal Processing.Vancouver:IEEE Press,2013:3497-3501. [35]ZHANG C,CHENG Y H.Modified threshold algorithm for feature extraction of tyre surface wear [J].Journal of Beijing Jiaotong University,2007,31(2):57-61.(in Chinese) 张超,程荫杭.改进阈值法的轮胎表面磨损的特征提取[J].北京交通大学学报,2007,31(2):57-61. [36]ZHANG C,CHENG Y H.A hybrid template match approachbased on wavelet analysis and threshold segmentation for detecting tire surface wear [C]∥IEEE International Conference on Control and Automation.Guangzhou:IEEE Press,2007:1079 -1084. [37]ZHANG C.Research on graphical analysis method for tyre wear [D].Beijing:Beijing Jiaotong University,2008.(in Chinese) 张超.轮胎磨损图形化分析的研究[D].北京:北京交通大学,2008. [38]BULAN O,BERNAL E A,LOCE R P,et al.Tire classification from still imagesand video[C]∥International IEEE Conference on Intelligent Transportation Systems.Anchorage:IEEE Press,2012:485-490. [39]Tire Rack in USA.Tire Image Database[EB/OL].(2016-11-15).http://www.Tirerack.com. [40]LIU Y,HU D,FAN J L,et al.Multi-feature fusion for crime scene investigation image database retrieval [C]∥The International Conference on Digital Image Computing:Techniques and Applications.Sydney:Institute of Electrical and Electronics Engineers Inc,2017. [41]WEI N,GENG G H,ZHOU M Q.An overview of performance evaluation on content-based image retrieval [J].Journal of Ima-ge Graphics,2004,9(11):1271-1276.(in Chinese) 韦娜,耿国华,周明全.基于内容的图像检索系统性能评价[J].中国图象图形学报,2004,9(11):1271-1276. [42]LIU Y,HU D,FAN J L.A survey of crime scene investigation image retrieval [J].Acta Electronica Sinica,2017,45(3):761-768.(in Chinese) 刘颖,胡丹,范九伦.现勘图像检索综述[J].电子学报,2017,45(3):761-768. [43]MULLER H,MULLER W,SQUIRE D.A web-based evaluation system for CBIR[C]∥ACM Workshops on Multimedia:Multimedia Information Retrieval.New York:ACM,2001:50-54. [44]LIU X H.Research on the key problems of image retrieval [D].Changsha:Central south University,2011.(in Chinese) 刘小红.图像检索的关键问题研究[D].长沙:中南大学,2011. [45]DONG W J,ZHOU M Q,GENG G H,et al.Image retrieval technique based on content [J].Computer Engineering,2005,31(10):162-163.(in Chinese) 董卫军,周明全,耿国华,等.基于内容的图像检索技术研究[J].计算机工程,2005,31(10):162-163. [46]HAO Y B,WANG R L,MA J,et al.Image retrieval based on improved Tamura texture features [J].Science of Surveying and Mapping,2010,35(4):136-138.(in Chinese) 郝玉保,王仁礼,马军,等.改进Tamura纹理特征的图像检索方法[J].测绘科学,2010,35(4):136-138. [47]DANG N,HU F M,CAO Y.Image retrieval based on wavelet transform [J].Electronic Science & Technology,2012,25(12):137-140.(in Chinese) 党妮,胡方明,曹越.基于小波变换的图像检索技术[J].电子科技,2012,25(12):137-140. [48]HUANG X.Application of wavelet transform on multimedia ima-ge retrieval [D].Chengdu:Southwest Jiaotong University,2006.(in Chinese) 黄铉.小波变换在多媒体图像检索中的应用研究[D].成都:西南交通大学,2006. [49]SELESNICK I W,BARANIUK R G,KINGSBURY N C.The dual-tree complex wavelet transform[J].IEEE Signal Processing Magazine,2005,22(6):123-151. [50]SHEN X M,ZHOU J X,XU T W.Minority costume image retrieval by fusion of color histogram and edge orientation histogram[C]∥International Conference on Computer and Information Science.Shanghai:IEEE Press,2016:1-7. [51]DESAI R,SONAWANE B.Gist,HOG,and DWT-Based Content-Based Image Retrieval for Facial Images[C]∥International Conference on Data Engineering and Communication Technology.Berlin:Springer Press,2017:297-307. [52]OJALA T,PIETIKAINEN M,HARWOOD D.Performanceevaluation of texture measures with classification based on Kullback discrimination of distributions[C]∥International Confe-rence on Pattern Recognition,Quebec.Canada:IEEE Press,2002:582-585. [53]DALAL N,TRIGGS B.Histograms of Oriented Gradients for Human Detection[C]∥IEEE Computer Society Conference on Computer Vision & Pattern Recognition.San Diego:IEEE Press,2005:886-893. [54]LOWE D G.Distinctive image features from scale-invariant key-points [J].International Journal of Computer Vision,2004,60(2):91-110. [55]DONG C,CHEN C L,HE K,et al.Image super-resolution using deep convolutional networks [J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,38(2):295-307. [56]SZEGEDY C,TOSHEV A,ERHAN D.Deep neural networks for object detection [J].Advances in Neural Information Processing Systems,2013,26:2553-2561. [57]KRIZHEVSKY A,SUTSKEVER I,HINTON G E.ImageNetclassification with deep convolutional neural networks[C]∥International Conference on Neural Information Processing Systems.Nevada:Neural Information Processing System Foundation.2012:1097-1105. [58]LIMA E,SUN X,DONG J,et al.Learning and transferring convolutional neural network knowledge to ocean front recognition [J].IEEE Geoscience and Remote Sensing Letters,2017,14(3):354-358. [59]BABENKO A,SLESAREV A,CHIGORIN A,et al.Neuralcodes for image retrieval[C]∥European Conference on Compu-ter Vision.2014:584-599. [60]PAN S J,YANG Q.A survey on transfer learning [J].IEEE Transactions on Knowledge and Data Engineering,2010,22(10):1345-1359. [61]XIE M,JEAN N,BURKE M,et al.Transfer learning from deep features for remote sensing and poverty mapping[C]∥The AAAI Conference on Artificial Intelligence.Arizona:AAAI press,2016:3929-3935. [62]WANG Z,LI D.A review of inspection and identification techniques for vehicle tire traces [J].Highways & Automotive Applications,2009(2):50-53.(in Chinese) 王震,李迪.车辆轮胎痕迹检验鉴定技术研究综述[J].公路与汽运,2009(2):50-53. |
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